Literature DB >> 22517431

Phosphoproteomic analysis of cells treated with longevity-related autophagy inducers.

Martin V Bennetzen1, Guillermo Mariño, Dennis Pultz, Eugenia Morselli, Nils J Færgeman, Guido Kroemer, Jens S Andersen.   

Abstract

Macroautophagy is a self-cannibalistic process that enables cells to adapt to various stresses and maintain energy homeostasis. Additionally, autophagy is an important route for turnover of misfolded proteins and damaged organelles, with important implications in cancer, neurodegenerative diseases and aging. Resveratrol and spermidine are able to induce autophagy by affecting deacetylases and acetylases, respectively, and have been found to extend the life-span of model organisms. With the aim to reveal the signaling networks involved in this drug-induced autophagic response, we quantified resveratrol and spermidine-induced changes in the phosphoproteome using SILAC and mass spectrometry. The data were subsequently analyzed using the NetworKIN algorithm to extract key features of the autophagy-responsive kinase-substrate network. We found that two distinct sequence motifs were highly responsive to resveratrol and spermidine and that key proteins modulating the acetylation, phosphorylation, methylation and ubiquitination status were affected by changes in phosphorylation during the autophagic response. Essential parts of the apoptotic signaling network were subjected to post-translational modifications during the drug-induced autophagy response, suggesting potential crosstalk and balancing between autophagy and apoptosis. Additionally, we predicted cellular signaling networks affected by resveratrol and spermidine using a computational framework. Altogether, these results point to a profound crosstalk between distinct networks of post-translational modifications and provide a resource for future analysis of autophagy and cell death.

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Year:  2012        PMID: 22517431     DOI: 10.4161/cc.20233

Source DB:  PubMed          Journal:  Cell Cycle        ISSN: 1551-4005            Impact factor:   4.534


  16 in total

1.  Characterization of early autophagy signaling by quantitative phosphoproteomics.

Authors:  Kristoffer Tg Rigbolt; Mostafa Zarei; Adrian Sprenger; Andrea C Becker; Britta Diedrich; Xun Huang; Sven Eiselein; Anders R Kristensen; Christine Gretzmeier; Jens S Andersen; Zhike Zi; Jörn Dengjel
Journal:  Autophagy       Date:  2013-11-21       Impact factor: 16.016

2.  Coffee induces autophagy in vivo.

Authors:  Federico Pietrocola; Shoaib Ahmad Malik; Guillermo Mariño; Erika Vacchelli; Laura Senovilla; Kariman Chaba; Mireia Niso-Santano; Maria Chiara Maiuri; Frank Madeo; Guido Kroemer
Journal:  Cell Cycle       Date:  2014-04-25       Impact factor: 4.534

3.  [Optimization of emollient formulation for treating atopic dermatitis by skin physiological index testing].

Authors:  Song-Gen Huang; Xi-Xiao Yang; Li-Qian Mo; Xian-Yi Zhou
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2017-07-20

Review 4.  Recent advances in quantitative and chemical proteomics for autophagy studies.

Authors:  Yin-Kwan Wong; Jianbin Zhang; Zi-Chun Hua; Qingsong Lin; Han-Ming Shen; Jigang Wang
Journal:  Autophagy       Date:  2017-08-18       Impact factor: 16.016

5.  Reactive Oxygen Species (ROS)-Activated ATM-Dependent Phosphorylation of Cytoplasmic Substrates Identified by Large-Scale Phosphoproteomics Screen.

Authors:  Sergei V Kozlov; Ashley J Waardenberg; Kasper Engholm-Keller; Jonathan W Arthur; Mark E Graham; Martin Lavin
Journal:  Mol Cell Proteomics       Date:  2015-12-23       Impact factor: 5.911

6.  Autophagy induction by exogenous polyamines is an artifact of bovine serum amine oxidase activity in culture serum.

Authors:  Cassandra E Holbert; Matthew Dunworth; Jackson R Foley; Tiffany T Dunston; Tracy Murray Stewart; Robert A Casero
Journal:  J Biol Chem       Date:  2020-05-19       Impact factor: 5.157

7.  Phospho-Network Analysis Identifies and Quantifies Hepatitis C Virus (HCV)-induced Hepatocellular Carcinoma (HCC) Proteins Regulating Viral-mediated Tumor Growth.

Authors:  Nu T Lu; Natalie M Liu; James Q Vu; Darshil Patel; Whitaker Cohn; Joe Capri; Mary Ziegler; Nikita Patel; Angela Tramontano; Roger Williams; Julian Whitelegge; Samuel W French
Journal:  Cancer Genomics Proteomics       Date:  2016 09-10       Impact factor: 4.069

8.  Xenohormetic and anti-aging activity of secoiridoid polyphenols present in extra virgin olive oil: a new family of gerosuppressant agents.

Authors:  Javier A Menendez; Jorge Joven; Gerard Aragonès; Enrique Barrajón-Catalán; Raúl Beltrán-Debón; Isabel Borrás-Linares; Jordi Camps; Bruna Corominas-Faja; Sílvia Cufí; Salvador Fernández-Arroyo; Anabel Garcia-Heredia; Anna Hernández-Aguilera; María Herranz-López; Cecilia Jiménez-Sánchez; Eugeni López-Bonet; Jesús Lozano-Sánchez; Fedra Luciano-Mateo; Begoña Martin-Castillo; Vicente Martin-Paredero; Almudena Pérez-Sánchez; Cristina Oliveras-Ferraros; Marta Riera-Borrull; Esther Rodríguez-Gallego; Rosa Quirantes-Piné; Anna Rull; Laura Tomás-Menor; Alejandro Vazquez-Martin; Carlos Alonso-Villaverde; Vicente Micol; Antonio Segura-Carretero
Journal:  Cell Cycle       Date:  2013-01-31       Impact factor: 4.534

9.  Environmental stress affects the activity of metabolic and growth factor signaling networks and induces autophagy markers in MCF7 breast cancer cells.

Authors:  Pedro Casado; Benoit Bilanges; Vinothini Rajeeve; Bart Vanhaesebroeck; Pedro R Cutillas
Journal:  Mol Cell Proteomics       Date:  2014-01-14       Impact factor: 5.911

10.  Berberine suppresses gero-conversion from cell cycle arrest to senescence.

Authors:  Hong Zhao; H Dorota Halicka; Jiangwei Li; Zbigniew Darzynkiewicz
Journal:  Aging (Albany NY)       Date:  2013-08       Impact factor: 5.682

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